RasaHost

拉莎主机

Rasa NLU 和 Rasa Core 的用户界面，可简化机器人开发。

特征

• Rasa 格式的 MD 文件（意图、故事、域）编辑器
  • 入门非常简单，您只需指定 MD 文件的路径即可。
  • 无需迁移。该工具使用标准 Rasa 格式。
  • 它不依赖于 Rasa 版本。
• 记录对话
  • 所有日志和对话都保存在 SQLite 中。
  • 您只需创建一个代理并将其绑定到主机即可。
  • 日志记录可以与文件的标准日志记录混合在一起，默认情况下 Rasa 会像控制台一样。
  • 它不依赖于 Rasa 版本。
• 测试
  • 聊天控制
  • 记忆化策略可视化

科技

• Python
• 烧瓶
• vuejs

安装

https://pypi.org/project/rasa-host

 pip install rasa - host

跑步

Rasa-Host 不依赖于 Rasa（实际上不依赖于 Rasa 包）并且适用于所有版本。

 from rasa_core . interpreter import RasaNLUInterpreter
from rasa_core . agent import Agent
interpreter = RasaNLUInterpreter ( 'models/current/nlu' )
agent = Agent . load ( "models/current/dialogue" , interpreter = interpreter )

from RasaHost import host
host . nlu_path = os . path . join ( current_dir , "data/nlu/" )
host . stories_path = os . path . join ( current_dir , "data/stories/" )
host . domain_path = os . path . join ( current_dir , "data/domain.yml" )
host . agent = agent
if __name__ == '__main__' :    
    host . run ()
    # werkzeug  -  * Running on http://0.0.0.0:5005/ (Press CTRL+C to quit)
    
    # GET http://localhost:5005/conversations/daniel/respond?q={{message}} 

NLU - md 文件

 from RasaHost import host
host . nlu_path = os . path . join ( current_dir , "data/nlu/" )
if __name__ == '__main__' :    
    host . run ()

核心 - 故事文件

 from RasaHost import host
host . stories_path = os . path . join ( current_dir , "data/stories/" )
if __name__ == '__main__' :    
    host . run ()

核心-域文件

 from RasaHost import host
host . domain_path = os . path . join ( current_dir , "data/domain.yml" )
if __name__ == '__main__' :    
    host . run ()

核心——聊天

用于测试 Rasa 的聊天界面。默认情况下，GET http://{{host}}/conversations/{{sender_id}}/respond?q={{message}}

 from RasaHost import host
host . agent = agent
if __name__ == '__main__' :    
    host . run ()

核心——对话

对话保存在 SQLite 中。

 from RasaHost import host
host . agent = agent
if __name__ == '__main__' :    
    host . run ()

核心-日志

日志保存在 SQLite 中。

 from RasaHost import host
host . agent = agent
if __name__ == '__main__' :    
    host . run ()

核心-分析

分析意图、故事和领域。显示警告和建议。

 from RasaHost import host
host . nlu_path = os . path . join ( current_dir , "data/nlu/" )
host . stories_path = os . path . join ( current_dir , "data/stories/" )
host . domain_path = os . path . join ( current_dir , "data/domain.yml" )
if __name__ == '__main__' :    
    host . run ()

核心 - 记忆策略

解码记忆策略数据。

 from RasaHost import host
host . memoization_policy_path = os . path . join ( current_dir , "modelscurrentdialoguepolicy_1_MemoizationPolicy" )
if __name__ == '__main__' :    
    host . run ()

行动

您还可以在有或没有代理的情况下托管操作。

 from rasa_core_sdk . executor import ActionExecutor
actionExecutor = ActionExecutor ()
actionExecutor . register_package ( 'actions' )

from RasaHost import host
host . actionExecutor = actionExecutor
if __name__ == '__main__' :    
    host . run ()
    # werkzeug  -  * Running on http://0.0.0.0:5005/ (Press CTRL+C to quit)
    # POST http://localhost:5005/actions 

代理与行动

使用代理和自定义操作运行应用程序的示例。

 from rasa_core . interpreter import RasaNLUInterpreter
from rasa_core . agent import Agent
from rasa_core import utils , server
from rasa_core_sdk . executor import ActionExecutor
#  #rasa-host.endpoints.yml
#  action_endpoint:
#  url: "http://localhost:5005/actions"
action_endpoint_conf = utils . read_endpoint_config ( "rasa-host.endpoints.yml" , endpoint_type = "action_endpoint" )
interpreter = RasaNLUInterpreter ( 'models/current/nlu' )
agent = Agent . load ( "models/current/dialogue" , interpreter = interpreter , action_endpoint = action_endpoint_conf )

actionExecutor = ActionExecutor ()
actionExecutor . register_package ( 'actions' )

from RasaHost import host
host . nlu_path = os . path . join ( current_dir , "data/nlu/" )
host . stories_path = os . path . join ( current_dir , "data/stories/" )
host . domain_path = os . path . join ( current_dir , "data/domain.yml" )
host . agent = agent
host . actionExecutor = actionExecutor
if __name__ == '__main__' :    
    host . run ()
    # werkzeug  -  * Running on http://0.0.0.0:5005/ (Press CTRL+C to quit)
    
    # GET http://localhost:5005/conversations/daniel/respond?q={{message}}
    # POST http://localhost:5005/actions 

渠道

支持渠道。所有对话都将被记录。

 from rasa_core . channels . botframework import BotFrameworkInput
input_channel = BotFrameworkInput (
        app_id = "" ,
        app_password = ""
)

from RasaHost import host
host . agent = agent
host . channels = [ input_channel ]
if __name__ == '__main__' :    
    host . run ()